code: def test_equivalence_blend():
      """[SequentialEnsemble] Test ensemble equivalence with BlendEnsemble."""
      ens = BlendEnsemble()
      seq = SequentialEnsemble()
  
      ens.add(ECM, dtype=np.float64)
      seq.add("blend", ECM, dtype=np.float64)
  
      F = ens.fit(X, y).predict(X)
      P = seq.fit(X, y).predict(X)
  
      np.testing.assert_array_equal(P, F)
  
file_path: mlens/mlens/ensemble/tests/test_sequential.py
imports: import numpy
  from mlens.ensemble import SequentialEnsemble, SuperLearner, BlendEnsemble, Subsemble
  from mlens.ensemble.base import Sequential
  from mlens.testing.dummy import Data, PREPROCESSING, ESTIMATORS, ECM, EstimatorContainer
label_desc: Use image node_id 6 for calling a global function with example usage: test_equivalence_blend() without return types